This document summarizes a research paper that proposes using local binary patterns and wavelet decomposition for fire and smoke detection in images. It begins with an introduction describing challenges with existing smoke detection methods. It then summarizes the existing method of using fuzzy logic and color space models. The proposed method adopts local binary patterns and wavelet transforms to improve accuracy. It describes how local binary patterns and wavelet transforms work. Finally, it provides the methodology and concludes that the proposed system should achieve high detection rates with low false alarms.